code: def __call__(self, op, noop_flag_buffer, tensor_lists, *args):
      return op(self.chunk_size, noop_flag_buffer, tensor_lists, *args)
  
file_path: NeMo/nemo/core/optim/adan.py
imports: import math
  from typing import List
  import torch
  from torch import Tensor
  from torch.optim.optimizer import Optimizer
label_desc: Use image node_id 2 for calling the MultiTensorApply obj's underlying member method code with example usage: obj.__call__(op, noop_flag_buffer, tensor_lists) and returns: op